oldmotor

Card Data format Wiegand

这是一些关于混沌的源代码，并且是通过本人在计算机上验证并可以实现的，如Rossler系统的绘图，一些混沌程序的仿真等等(This is some source code on the chaotic, and through my computer and can verify, such as the Rossler system drawings, some chaotic process simulation, etc.)

如完成Matlab GUI程序的编写，想要脱离matlab环境运行，可参照该文档(Written in Matlab GUI program, you want out of the Matlab environment is running, can refer to the document)

New Segmentation techniques

时间序列中，ARIMA（1,1,1）模型实例，通过计算得到这一过程的十步预测(Time series, (1,1,1) model instance ARIMA, obtained by calculating this process ten-step prediction)

好的 matlab 仿真 希望大家有用 (verygood)

mat lab code for image enhancement

Matlab有限元程序，是书he Finite Element Method Using MATLAB中的源程序(Finte element using matlab, source code)

syms函数rrrrrrrrrrrrrrrrrrrrrrrrrrrrrr(the syms functions rrrrrrrrrrrrrrrrrrrrrrrrrrrrrr)

fit_ML_normal - Maximum Likelihood fit of the laplace distribution of i.i.d. samples!. Given the samples of a laplace distribution, the PDF parameter is found fits data to the probability of the form: p(x) = 1/(2*b)*exp(-abs(x-u)/b) with parameters: u,b format: result = fit_ML_laplace( x,hAx ) input: x - vector, samples with laplace distribution to be parameterized hAx - handle of an axis, on which the fitted distribution is plotted if h is given empty, a figure is created. output: result - structure with the fields u,b - fitted parameters CRB_b - Cram?r-Rao Bound for the estimator value RMS - RMS error of the estimation type - ML